moeru-ai/airi
airi
💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minecraft, Factorio playing. Web / macOS / Windows supported.
Usage guide
airi is an open-source project around ai-companion, ai-vtuber, digital-life with 40,427 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.
Key features
- Implemented mainly in TypeScript, useful for judging integration effort in a similar stack.
- GitHub detected the MIT repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
- The project has a homepage, so cross-check docs, examples, and release information beyond GitHub.
Best for
- Evaluating airi for TypeScript AI workflows.
- Comparing a GitHub project with 40,427 stars and current repository activity.
Pros
- airi has visible GitHub traction with 40,427 stars. Topics: ai-companion, ai-vtuber, airi.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the MIT terms fit your use case.
Production readiness
airi should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
MIT is reported by GitHub; review the repository license before redistribution or commercial use.
airi architecture preview
airi's main path starts at the entry surface, runs through airi core runtime, combines LLM / model client, Runtime context, GitHub / Discord, and returns User-facing result.
Entry
Web / product entry
Users start from a web UI, hosted product surface, or browser-based workflow.
https://airi.moeru.ai/docs/
Runtime
airi core runtime
The core coordinates project logic, configuration, and AI-related execution in TypeScript.
TypeScript
Model
LLM / model client
The project connects its core runtime to local models or hosted AI APIs when model inference is required.
model signal
Context
Runtime context
Runtime state, user input, repository files, or configuration provide context for each task.
context signal
Tools
GitHub / Discord
Tool adapters let the runtime act outside the model through GitHub / Discord.
GitHub, Discord
Output
User-facing result
The final output is returned to the user, workflow, API caller, or downstream system.
output
Install tutorial
Before you install
- Node.js and the package manager used by the project
- A clean working directory for the first test run
Check the runtime environment
airi uses a Node.js-style toolchain. Confirm the Node version and package manager before installing.
Get the project files
Start from the official repository or package so the first run matches the documented behavior.
$ git clone https://github.com/moeru-ai/airi.gitInstall or build dependencies
No extra setup command was detected. Check the README before adding custom configuration.
Adoption guidance and sources
Practical use cases
💖🧸 Self hosted, you-owned Grok Companion, a container of souls of wa
This is one of the documented reasons to evaluate airi before choosing a stack.
Focus area: ai-companion
This is one of the documented reasons to evaluate airi before choosing a stack.
Speech project comparison
Compare airi with similar projects before committing to a stack.
Before adopting
- Complete one clean-environment verification using the official airi setup path.
- Review repository license, model weights, external services, and dependency terms for your use case.
- Check recent commits, release cadence, issue response, and documentation depth.
- Evaluate output quality, latency, resource usage, and recovery behavior with a small dataset.
Configuration notes
- Review README configuration notes before using production data.
Sources checked
These links are used to verify repository, documentation, or tutorial details. Review the source pages before adopting the project.
Troubleshooting
- If installation fails, first confirm the command is being run from the README-specified directory.
- If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
- If output looks wrong, return to the smallest documented airi example before adding complex data.
- For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
- Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is airi?
airi is an open-source speech project. 💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minecraft, Factorio playing. Web / macOS / Windows supported.
How do I install airi?
Start with the official README. The first detected setup step is: git clone https://github.com/moeru-ai/airi.git.
Is airi beginner-friendly?
If you already know the TypeScript ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.
Can airi be used commercially?
GitHub detected the MIT repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
Does airi need a GPU?
GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.
How should I decide whether to adopt airi?
Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.